Skip to Content

Social Physics

Media Lab professor’s new book ties more than a decade’s research into a new theory of information propagation in communities large and small.
March 4, 2014

Since 2001, the Human Dynamics Laboratory at the MIT Media Lab has used digital technologies — from home-brewed portable sensors to cellphone call records — to try to get a quantitative handle on the nature and the consequences of different types of human social interactions. The group’s focus has ranged from the very small, such as speed-dating sessions, to the very large, such as entire cities.

Sandy Pentland, MIT Media Lab
Photo by Sam Ogden

In a new book, “Social Physics: How Good Ideas Spread — The Lessons from a New Science,” Alex “Sandy” Pentland, the Toshiba Professor of Media Arts and Sciences and the director of the Human Dynamics Laboratory, draws all that research together into a new theory of human social interaction, which he then applies to questions of organizational management, urban planning, and digital privacy.

Pentland’s title appropriates the term that Auguste Comte, generally regarded as the father of sociology, initially applied to his own discipline. According to Pentland, the proliferation of mobile-sensor data in the Internet age, the advent of new mathematical tools for analyzing network interdependencies, and the power of modern computers mean that the aspiration to quantitative rigor in the term “social physics” is less far-fetched that it once was.

“We have enough data to take all of these theories about people and innovation and good decision-making and make them quantitative,” Pentland says. “And when you do that, you find that there are some reasonably simple principles that account for 80, 90 percent of the variance in some cases.”

Being there

As Pentland argues in the book, those principles have to do with the interplay of two distinct types of information propagation, which he calls “exploring” and “engagement.” Exploring represents exposure to novel ideas; engagement is the type of face-to-face social interaction in which nonverbal communication — the subject of Pentland’s first book, “Honest Signals” — still plays a crucial role.

According to “Social Physics,” however good an idea may look on paper — or on a computer screen — engagement is still the mechanism whereby it takes root in a community. “Adopting habits is a very conservative process that seems to be driven very largely by social learning, by seeing other people doing the same thing,” Pentland says. “Habits are things that sort of fire off automatically. You don’t want to get bad habits in your repertoire, because they’re real hard to get rid of. But when you’re exploring new ideas, you want to take everything you possibly can, because there’s really no cost to that.”

The importance of balancing exploration and engagement, Pentland says, is something that emerges again and again in his group’s research. One telling example, described in “Social Physics,” involves the stock-trading site eToro. Members of this site can choose to reveal their stock trades to each other, and any member may adopt — or in eToro parlance, “copy” — the trades of any other. Members receive financial rewards every time their trades are copied, creating an incentive for disclosure, but no one can tell whose trade anyone else is copying.

But eToro granted Pentland’s group access to the entire network of trades for 10 million transactions executed by 1.6 million eToro members. Some eToro members were loners: They almost never copied anyone else’s trades. Others — unbeknownst to themselves — were trapped in what Pentland calls echo chambers: They were densely connected to each other but rarely copied any outsiders’ trades. The MIT researchers found that eToro members whose networks allowed them to cull from a wide range of strategies earned a 30 percent better return on their investments than either the loners or the members trapped in echo chambers.

Scaling up

A similar dynamic, Pentland says, governed a bank, a military installation, an IT consultancy, and several other organizations that his group studied; in each case, creating opportunities for employees to interact face to face — by, say, synchronizing their break times — increased productivity. Remarkably, the same principle seems to apply to entire cities, where GDP turns out to be highly correlated with opportunities for face-to-face encounters.

One of the things Pentland’s lab is investigating is how to harness these effects. He and his students have, for instance, compared schemes for promoting changes in exercise or diet among groups of volunteers. In one scheme, volunteers receive a small financial reward if they meet particular goals; in another, they receive the same reward only if their peers meet the same goals. The difference between the success of the two schemes is not subtle, Pentland reports: The addition of peer pressure makes the program anywhere from twice to 16 times as successful.

Indeed, it was an elaboration of the same peer-based incentive scheme that enabled Pentland’s group to win a contest that the Defense Advanced Research Projects Agency sponsored in celebration of the Internet’s 40th anniversary, in which competitors used social media to identify the locations of 10 weather balloons placed randomly around the country.

“We’re not where economics is yet,” Pentland says. “That will take another 100 years. But we’re moving in some very promising directions.”

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.